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adfcicd

adfcicd17june

ai-predictivemaintenance

app-service-maven

Sample Java webapp preconfigured for Maven deploy to Azure App Service

aspexample

aspnetcore-sample

Simple two-service ASP.NET Core demo application

aspnetcore-webapi-sample

This is a sample ASP.NET Core WebAPI

azure-docs

Open source documentation of Microsoft Azure

azure-iot-predictive-maintenance

Azure IoT Predictive Maintenance preconfigured solution

azure-quickstart-templates

Azure Quickstart Templates

azuredatabricks

azuredatastudio

Azure Data Studio is a data management tool that enables working with SQL Server, Azure SQL DB and SQL DW from Windows, macOS and Linux.

data-accelerator

Data Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.

data-lake-store-powershell-recursive-file-operations

These sample scripts let you perform certain actions recursively on Data Lake Store files and folders.

data-protection-mapping-project

Open Source Data Protection/Privacy Regulatory Mapping Project

data-science-sandbox

Azure-hosted sandbox environment to enable third-parties to collaborate on data science solutions over protected data sets

datamigrationteam

Repository for the Data Migration Team

devopstest

dotnetexample

ghinsights

GHInsights is a data processing pipeline using Azure Data Factory and Azure Data Lake. It processes GitHub data from the ghtorrent project. The resulting processed data is available in Azure Data Lake for users to query, generate reports, and analyze GitHub projects.

javawebappsample

Java web app samples for Jenkins on Azure

mlops

MLOps examples

modern-data-warehouse-dataops

DataOps for the Modern Data Warehouse on Microsoft Azure

productsstoreonkubernetes

Demoing deployment of Docker containers into Kubernetes for both minikube and Azure AKS.

superchargeazuresqldeployments

Learn how to quickly deploy and mange Azure SQL database development and deployments at scale using Azure DevOps Services. Supercharge your data estate with database lifecycle management using modern cloud principles and architectures. Learn how to leverage the power of Azure Resource Manager and DevOps to deploy efficiently. Empower your customers to seamlessly manage database projects, and handle schema changes that will avail their cloud migration efforts with ease.